Monitoring systems are essential to maintain optimal performance of photovoltaic (PV)
systems. A critical aspect in such monitoring systems is the fault diagnosis technique being …

This paper aims to introduce deep learning to the power quality community by reviewing the
latest applications and discussing the open challenges of this technology. Publications …

Islanding detection of distributed generations (DGs) is one of the most important aspects of
interconnecting DGs to the distribution system. Islanding detection techniques can generally …

With an elevating demand and use of power electronics equipment, green energy and the
development of smart grids, power quality disturbance detection and classification holds …

Power quality (PQ) studies have gained huge attention from the academics and the industry
over the past three decades. The main objective of this article is to provide a comprehensive …

The increasing trend towards renewable energy sources requires higher power quality (PQ)
at the generation, transmission and distribution systems. The PQ disturbances are produced …

The detection and classification of power quality (PQ) disturbances have become a pressing
concern due to the increasing number of disturbing loads connected to the power line and …

Quantum computing (QC) and deep learning have shown promise of supporting
transformative advances and have recently gained popularity in a wide range of areas. This …

The accurate detection and classification of power quality (PQ) disturbances in power
systems is a key step to determine the causes of these events before any proper …

Recently, power quality (PQ) issues have drawn considerable attention of the researchers
due to the increasing awareness of the customers towards power quality. The PQ issues …